Second, we took into account the TRANCOS dataset. We split it into train, validation, and test sets, following [1]}. The train set represented the source domain, while the other two belonged to the target domain and were collected in different contexts. We trained our domain adaptation for 200 epochs, picking the best validation model in terms of mae, and we evaluated it against the test set. We compared the obtained results with the ones claimed by [2]} using only the state-of-the-art CSRNet algorithm (i.e., our baseline) and with other state-of-the-art techniques present in the literature.
